In the Norwegian DoCTA and DoCTA NSS projects we aimed to bring a theoretical perspective to the design of ICT-mediated learning environments that support the sociocultural aspects of human interaction and to evaluate their use. By taking a sociocultural perspective on learning activity focussing on the interpersonal social interaction in collaborative learning settings we contribute to knowled...

Indicators help learners to organise, orientate and navigate through complex environments by providing contextual information relevant for the performance of learning tasks. Smart indicator systems adapt their approach of information aggregation and indication according to a learner’s situation or context. In this paper context is used as temporal context of the learning progress. This paper in...

In this paper, for the first time, we propose an evaluation method for deep learning models that assesses the performance of a model not only in an unseen test scenario, but also in extreme cases of noise, outliers and ambiguous input data. To this end, we utilize adversarial examples, images that fool machine learning models, while looking imperceptibly different from original data, as a measu...

TAO JIANG, Ph.D. THESIS, COMMUNICATIONS RESEARCH GROUP, UNIVERSITY OF YORK 2011 Abstract This thesis investigates how distributed reinforcement learning-based resource assignment algorithms can be used to improve the performance of a cognitive radio system. Decision making in most wireless systems today, including most cognitive radio systems in development, depends purely on instantaneous meas...